Agentic AI Lead
- CGI
- 7 - 10 years
- Mumbai
- 2 months ago
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Job Description
Role & responsibilities
Direct Responsibilities
1) Lead technical delivery of AI agents and MVPs for cross-functional business units IT ops, compliance, risk, business lines within the group's established agentic framework
2) Contribute to and extend the shared agentic framework: propose improvements, develop reusable components, document patterns for group-wide adoption
3) Drive pure innovation work in parallel: prototype emerging approaches (LightRAG, TigerRAG, graph-based RAG, advanced MCP patterns) and evaluate their production potential
4) Design agentic workflows using LangChain, LangGraph, and LangServe multi-agent reasoning, tool-calling, stateful orchestration, API/microservice exposure
5) Build production assistants on real infra datasets: incident investigation, RCA, change analysis, CMDB querying, run assistance, documentation search
6) Implement and enforce guardrails: hallucination control, access control, secrets management, output validation, sensitive data handling
7) Own end-to-end observability via LangSmith: prompt tracing, tool call monitoring, evaluation datasets, performance alerting
Contributing Responsibilities
1) Coordinate technically across Paris, Mumbai, and group entities architecture reviews, cross-regional ceremonies, async collaboration
2) Provide technical leadership and mentorship to the Mumbai engineering team
3) Deploy and operate POC environments on cloud-native and containerized platforms (Docker, Kubernetes, Helm, GitOps, ArgoCD, GitLab CI/CD)
4) Formalize architecture patterns and contribute to industrialization specs for build teams across the group
Technical & Behavioral Competencies
Technical Skills:
- LightRAG, TigerRAG, or graph-based retrieval experience
- Contribute to a live agentic framework used across a CAC 40-tier banking group
- MCP server design and connector architecture
- Go or TypeScript alongside Python
- CI/CD & GIT Ops (Expert)
- Observability (Intermediate)
Transversal skills:
- Knowledge of DPDP Act (India) and/or GDPR
- Cross-functional stakeholder engagement (IT ops, risk, compliance, business lines)
- Dual mandate: ship MVPs AND do real innovation not one or the other
- Ability to work with Agile methods (Mastered)
- Cross-functional and cross-regional scope from day one
- Tech Lead path with direct line to Global Head of Innovation
Specific Qualifications:
Skills Referential (Required knowledge, skills and abilities)
Technical Skills:
- 5+ years in DevOps / AI/ML engineering, with 2+ years on LLM-based agentic systems in production
- Proven experience contributing to or extending a shared technical framework not just consuming it
- Strong Linux, distributed systems, networking, and enterprise infrastructure architecture expertise
- Mastery of containerized environments: Docker, Kubernetes, Helm, GitOps, GitLab CI/CD, ArgoCD
- Hands-on LangChain, LangGraph, LangServe, LangSmith real production deployments
- RAG architecture depth: chunking, embeddings, vector stores, hybrid search, grounding strategies
- Solid classical observability: Prometheus, Grafana, ELK/OpenSearch, OpenTelemetry
Transversal Skills:
- Strong grasp of AI security: access control, data protection, auditability, guardrails, secrets management
- Experience in a regulated industry banking, insurance with compliance and governance awareness
- Fluent professional English cross-regional technical leadership and documentation are daily
Behavioral Skills:
- Ability to share/transmit knowledge
- Be results oriented
- Creativity & Innovation / Ability to solve problems
- Ability to collaborate / teamwork
- Develop and maintain system documentation, including configuration guides, and standard operating procedures. - Direct and be responsible for the implementation effort.
- Provide technical guidance and mentorship to team members.
- Able to work autonomously and as part of a team using strong analytical skills.
- Be service oriented, customer focused, positive, committed and have an enthusiastic can do attitude.
- Demonstrate a systematic and logical approach to problem-solving.
- Able to follow the banks standards, processes, and procedures.
- Escalating incidents internally or to 3rd party partners when required.
Education Level: Bachelors or Masters degree in Computer Science, Information Technology or Equivalent
Experience level: 7-9 +Years production experience as Senior lead under Agent AI & Devops
Location: Mumbai / Bangalore
Preferred candidate profile
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: BFSI, Investments & TradingRole Category: Banking OperationsRole: Area / Territory ManagerEmployement Type: Full timeContact Details:
Company: CGILocation(s): Mumbai
Keyskills: Agentic Ai Langchain Langgraph FORCEGUARD LLM Logstash
CGI
\n\n The Muthoot Group is one of Indias largest multi-diversified business conglomerates having 20 diversified business divisions with 800 years of family business legacy, 800 years of Charity, 800 years of religious work and 800 years of financial inclusion. The Group serves over 2.5 lakh customers...
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